Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 45215 |
| Missing cells | 136534 |
| Missing cells (%) | 13.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 7.6 MiB |
| Average record size in memory | 176.0 B |
Variable types
| Categorical | 7 |
|---|---|
| Numeric | 8 |
| DateTime | 7 |
Matricula has a high cardinality: 1822 distinct values | High cardinality |
NomeMotorista has a high cardinality: 2695 distinct values | High cardinality |
Tara is highly correlated with bruto | High correlation |
bruto is highly correlated with Tara and 2 other fields | High correlation |
Liquido is highly correlated with bruto and 1 other fields | High correlation |
qtdpedida is highly correlated with bruto and 1 other fields | High correlation |
Tara is highly correlated with bruto | High correlation |
bruto is highly correlated with Tara and 2 other fields | High correlation |
Liquido is highly correlated with bruto and 1 other fields | High correlation |
qtdpedida is highly correlated with bruto and 1 other fields | High correlation |
Tara is highly correlated with bruto | High correlation |
bruto is highly correlated with Tara and 1 other fields | High correlation |
Liquido is highly correlated with qtdpedida and 1 other fields | High correlation |
qtdpedida is highly correlated with bruto and 1 other fields | High correlation |
percDiff is highly correlated with Liquido | High correlation |
DescProduto is highly correlated with TipoViatura | High correlation |
TipoViatura is highly correlated with DescProduto and 1 other fields | High correlation |
PostoOperacao is highly correlated with TipoViatura | High correlation |
TipoDoc is highly correlated with Tara and 3 other fields | High correlation |
TipoViatura is highly correlated with DescProduto and 1 other fields | High correlation |
CodProduto is highly correlated with DescProduto and 3 other fields | High correlation |
DescProduto is highly correlated with TipoViatura and 5 other fields | High correlation |
Tara is highly correlated with TipoDoc and 4 other fields | High correlation |
bruto is highly correlated with TipoDoc and 7 other fields | High correlation |
Liquido is highly correlated with CodProduto and 4 other fields | High correlation |
qtdpedida is highly correlated with TipoDoc and 5 other fields | High correlation |
percDiff is highly correlated with TipoDoc and 2 other fields | High correlation |
PostoOperacao is highly correlated with TipoViatura and 1 other fields | High correlation |
CodMotorista is highly correlated with bruto | High correlation |
PostoOperacao has 16288 (36.0%) missing values | Missing |
TaraData has 26694 (59.0%) missing values | Missing |
DataInicioOperacao has 26694 (59.0%) missing values | Missing |
DataFimOperacao has 31522 (69.7%) missing values | Missing |
CodMotorista has 35326 (78.1%) missing values | Missing |
DataCriacao has unique values | Unique |
Dataentrada has unique values | Unique |
percDiff has 760 (1.7%) zeros | Zeros |
Reproduction
| Analysis started | 2022-05-13 16:01:56.616308 |
|---|---|
| Analysis finished | 2022-05-13 16:02:12.930948 |
| Duration | 16.31 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| TP | |
|---|---|
| SP | 160 |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 90430 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | TP |
|---|---|
| 2nd row | TP |
| 3rd row | TP |
| 4th row | TP |
| 5th row | TP |
Common Values
| Value | Count | Frequency (%) |
| TP | 45055 | |
| SP | 160 | 0.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| tp | 45055 | |
| sp | 160 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| P | 45215 | |
| T | 45055 | |
| S | 160 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 90430 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 45215 | |
| T | 45055 | |
| S | 160 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 90430 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| P | 45215 | |
| T | 45055 | |
| S | 160 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 90430 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| P | 45215 | |
| T | 45055 | |
| S | 160 | 0.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| Z002 | |
|---|---|
| Z004 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 180860 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Z004 |
|---|---|
| 2nd row | Z002 |
| 3rd row | Z002 |
| 4th row | Z002 |
| 5th row | Z004 |
Common Values
| Value | Count | Frequency (%) |
| Z002 | 28227 | |
| Z004 | 16988 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| z002 | 28227 | |
| z004 | 16988 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 90430 | |
| Z | 45215 | |
| 2 | 28227 | 15.6% |
| 4 | 16988 | 9.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 135645 | |
| Uppercase Letter | 45215 | 25.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 90430 | |
| 2 | 28227 | 20.8% |
| 4 | 16988 | 12.5% |
Uppercase Letter
| Value | Count | Frequency (%) |
| Z | 45215 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 135645 | |
| Latin | 45215 | 25.0% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 90430 | |
| 2 | 28227 | 20.8% |
| 4 | 16988 | 12.5% |
Latin
| Value | Count | Frequency (%) |
| Z | 45215 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 180860 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 90430 | |
| Z | 45215 | |
| 2 | 28227 | 15.6% |
| 4 | 16988 | 9.4% |
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.545947141 |
| Minimum | 2 |
|---|---|
| Maximum | 42 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 353.4 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 37 |
| Maximum | 42 |
| Range | 40 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 8.446174665 |
|---|---|
| Coefficient of variation (CV) | 1.522945396 |
| Kurtosis | 12.83874307 |
| Mean | 5.545947141 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.779239051 |
| Sum | 250760 |
| Variance | 71.33786648 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 3 | 14463 | |
| 5 | 14237 | |
| 2 | 12276 | |
| 42 | 1129 | 2.5% |
| 6 | 967 | 2.1% |
| 40 | 871 | 1.9% |
| 11 | 450 | 1.0% |
| 37 | 429 | 0.9% |
| 7 | 393 | 0.9% |
| Value | Count | Frequency (%) |
| 2 | 12276 | |
| 3 | 14463 | |
| 5 | 14237 | |
| 6 | 967 | 2.1% |
| 7 | 393 | 0.9% |
| 11 | 450 | 1.0% |
| 37 | 429 | 0.9% |
| 40 | 871 | 1.9% |
| 42 | 1129 | 2.5% |
| Value | Count | Frequency (%) |
| 42 | 1129 | 2.5% |
| 40 | 871 | 1.9% |
| 37 | 429 | 0.9% |
| 11 | 450 | 1.0% |
| 7 | 393 | 0.9% |
| 6 | 967 | 2.1% |
| 5 | 14237 | |
| 3 | 14463 | |
| 2 | 12276 |
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Memory size | 353.4 KiB |
| CIMENT II/AL 32,5 R PALETTE | |
|---|---|
| CIMENT I 42,5 R SAC | |
| CIMENT II/AL 32,5 R SAC | |
| CIMENT I 42,5 R SR3 PALETTE | 1128 |
| CIMENT I 42,5 R PALETTE | 967 |
| Other values (4) |
Length
| Max length | 28 |
|---|---|
| Median length | 27 |
| Mean length | 23.08342549 |
| Min length | 17 |
Characters and Unicode
| Total characters | 1043694 |
|---|---|
| Distinct characters | 23 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | CIMENT II/AL 32,5 R PALETTE |
|---|---|
| 2nd row | CIMENT I 42,5 R SAC |
| 3rd row | CIMENT I 42,5 R SAC |
| 4th row | CIMENT I 42,5 R SAC |
| 5th row | CIMENT I 42,5 R SR3 PALETTE |
Common Values
| Value | Count | Frequency (%) |
| CIMENT II/AL 32,5 R PALETTE | 14463 | |
| CIMENT I 42,5 R SAC | 14237 | |
| CIMENT II/AL 32,5 R SAC | 12276 | |
| CIMENT I 42,5 R SR3 PALETTE | 1128 | 2.5% |
| CIMENT I 42,5 R PALETTE | 967 | 2.1% |
| CIMENT II/AL 42,5 N SAC | 871 | 1.9% |
| CHAUX CHA 10 SAC | 450 | 1.0% |
| CHAUX CHA 10 PALETTE | 429 | 0.9% |
| CIMENT I 42,5 R SR3 SAC | 393 | 0.9% |
| (Missing) | 1 | < 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| ciment | 44335 | |
| r | 43464 | |
| sac | 28227 | |
| ii/al | 27610 | |
| 32,5 | 26739 | |
| 42,5 | 17596 | 7.8% |
| palette | 16987 | 7.5% |
| i | 16725 | 7.4% |
| sr3 | 1521 | 0.7% |
| chaux | 879 | 0.4% |
| Other values (3) | 2629 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 184291 | ||
| I | 116280 | |
| E | 78309 | 7.5% |
| T | 78309 | 7.5% |
| A | 74582 | 7.1% |
| C | 74320 | 7.1% |
| N | 45206 | 4.3% |
| R | 44985 | 4.3% |
| L | 44597 | 4.3% |
| 5 | 44335 | 4.2% |
| Other values (13) | 258480 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 651174 | |
| Space Separator | 184291 | 17.7% |
| Decimal Number | 136284 | 13.1% |
| Other Punctuation | 71945 | 6.9% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| I | 116280 | |
| E | 78309 | |
| T | 78309 | |
| A | 74582 | |
| C | 74320 | |
| N | 45206 | 6.9% |
| R | 44985 | 6.9% |
| L | 44597 | 6.8% |
| M | 44335 | 6.8% |
| S | 29748 | 4.6% |
| Other values (4) | 20503 | 3.1% |
Decimal Number
| Value | Count | Frequency (%) |
| 5 | 44335 | |
| 2 | 44335 | |
| 3 | 28260 | |
| 4 | 17596 | 12.9% |
| 1 | 879 | 0.6% |
| 0 | 879 | 0.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 44335 | |
| / | 27610 |
Space Separator
| Value | Count | Frequency (%) |
| 184291 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 651174 | |
| Common | 392520 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| I | 116280 | |
| E | 78309 | |
| T | 78309 | |
| A | 74582 | |
| C | 74320 | |
| N | 45206 | 6.9% |
| R | 44985 | 6.9% |
| L | 44597 | 6.8% |
| M | 44335 | 6.8% |
| S | 29748 | 4.6% |
| Other values (4) | 20503 | 3.1% |
Common
| Value | Count | Frequency (%) |
| 184291 | ||
| 5 | 44335 | 11.3% |
| , | 44335 | 11.3% |
| 2 | 44335 | 11.3% |
| 3 | 28260 | 7.2% |
| / | 27610 | 7.0% |
| 4 | 17596 | 4.5% |
| 1 | 879 | 0.2% |
| 0 | 879 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1043694 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 184291 | ||
| I | 116280 | |
| E | 78309 | 7.5% |
| T | 78309 | 7.5% |
| A | 74582 | 7.1% |
| C | 74320 | 7.1% |
| N | 45206 | 4.3% |
| R | 44985 | 4.3% |
| L | 44597 | 4.3% |
| 5 | 44335 | 4.2% |
| Other values (13) | 258480 |
estado
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| F | |
|---|---|
| C | 14 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 45215 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | F |
|---|---|
| 2nd row | F |
| 3rd row | F |
| 4th row | F |
| 5th row | F |
Common Values
| Value | Count | Frequency (%) |
| F | 45201 | |
| C | 14 | < 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| f | 45201 | |
| c | 14 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| F | 45201 | |
| C | 14 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 45215 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 45201 | |
| C | 14 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 45215 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| F | 45201 | |
| C | 14 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 45215 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| F | 45201 | |
| C | 14 | < 0.1% |
| Distinct | 1511 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15519.7983 |
| Minimum | 0 |
|---|---|
| Maximum | 50580 |
| Zeros | 160 |
| Zeros (%) | 0.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 353.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 8220 |
| Q1 | 14600 |
| median | 15140 |
| Q3 | 15880 |
| 95-th percentile | 19492 |
| Maximum | 50580 |
| Range | 50580 |
| Interquartile range (IQR) | 1280 |
Descriptive statistics
| Standard deviation | 4155.132945 |
|---|---|
| Coefficient of variation (CV) | 0.2677311177 |
| Kurtosis | 11.96684281 |
| Mean | 15519.7983 |
| Median Absolute Deviation (MAD) | 640 |
| Skewness | 1.985005454 |
| Sum | 701727680 |
| Variance | 17265129.79 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 15100 | 553 | 1.2% |
| 14900 | 527 | 1.2% |
| 14800 | 510 | 1.1% |
| 15000 | 500 | 1.1% |
| 15200 | 495 | 1.1% |
| 15300 | 489 | 1.1% |
| 14960 | 462 | 1.0% |
| 14980 | 459 | 1.0% |
| 15240 | 442 | 1.0% |
| 15060 | 440 | 1.0% |
| Other values (1501) | 40338 |
| Value | Count | Frequency (%) |
| 0 | 160 | |
| 1560 | 1 | < 0.1% |
| 1760 | 2 | < 0.1% |
| 1780 | 1 | < 0.1% |
| 1800 | 1 | < 0.1% |
| 1860 | 1 | < 0.1% |
| 1880 | 1 | < 0.1% |
| 2480 | 2 | < 0.1% |
| 2500 | 9 | < 0.1% |
| 2520 | 23 | 0.1% |
| Value | Count | Frequency (%) |
| 50580 | 1 | |
| 49380 | 1 | |
| 48380 | 1 | |
| 47780 | 1 | |
| 47440 | 1 | |
| 47380 | 1 | |
| 47100 | 1 | |
| 47020 | 1 | |
| 47000 | 1 | |
| 46940 | 1 |
| Distinct | 1432 |
|---|---|
| Distinct (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 43856.38947 |
| Minimum | 0 |
|---|---|
| Maximum | 128550 |
| Zeros | 160 |
| Zeros (%) | 0.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 353.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 21650 |
| Q1 | 44150 |
| median | 44850 |
| Q3 | 45650 |
| 95-th percentile | 50600 |
| Maximum | 128550 |
| Range | 128550 |
| Interquartile range (IQR) | 1500 |
Descriptive statistics
| Standard deviation | 10023.69258 |
|---|---|
| Coefficient of variation (CV) | 0.2285571771 |
| Kurtosis | 18.32910749 |
| Mean | 43856.38947 |
| Median Absolute Deviation (MAD) | 750 |
| Skewness | 1.196369788 |
| Sum | 1982966650 |
| Variance | 100474412.9 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 44750 | 993 | 2.2% |
| 44850 | 963 | 2.1% |
| 44650 | 957 | 2.1% |
| 44800 | 950 | 2.1% |
| 44700 | 935 | 2.1% |
| 44950 | 914 | 2.0% |
| 44600 | 893 | 2.0% |
| 44500 | 893 | 2.0% |
| 44550 | 880 | 1.9% |
| 44900 | 870 | 1.9% |
| Other values (1422) | 35967 |
| Value | Count | Frequency (%) |
| 0 | 160 | |
| 2550 | 1 | < 0.1% |
| 2750 | 1 | < 0.1% |
| 2800 | 1 | < 0.1% |
| 2850 | 1 | < 0.1% |
| 2900 | 1 | < 0.1% |
| 3250 | 1 | < 0.1% |
| 3300 | 1 | < 0.1% |
| 3900 | 1 | < 0.1% |
| 4400 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 128550 | 1 | |
| 126500 | 1 | |
| 125650 | 1 | |
| 125100 | 1 | |
| 125050 | 2 | |
| 125000 | 1 | |
| 124900 | 1 | |
| 124800 | 1 | |
| 124400 | 2 | |
| 124250 | 1 |
| Distinct | 2408 |
|---|---|
| Distinct (%) | 5.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28336.6938 |
| Minimum | 0 |
|---|---|
| Maximum | 103500 |
| Zeros | 164 |
| Zeros (%) | 0.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 353.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 12050 |
| Q1 | 29450 |
| median | 29760 |
| Q3 | 30000 |
| 95-th percentile | 34740 |
| Maximum | 103500 |
| Range | 103500 |
| Interquartile range (IQR) | 550 |
Descriptive statistics
| Standard deviation | 8480.345425 |
|---|---|
| Coefficient of variation (CV) | 0.2992708142 |
| Kurtosis | 17.71922392 |
| Mean | 28336.6938 |
| Median Absolute Deviation (MAD) | 270 |
| Skewness | 1.763006212 |
| Sum | 1281243610 |
| Variance | 71916258.53 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 29850 | 708 | 1.6% |
| 29900 | 703 | 1.6% |
| 29750 | 672 | 1.5% |
| 29800 | 668 | 1.5% |
| 29950 | 626 | 1.4% |
| 29700 | 568 | 1.3% |
| 29810 | 534 | 1.2% |
| 29740 | 514 | 1.1% |
| 29770 | 512 | 1.1% |
| 29790 | 511 | 1.1% |
| Other values (2398) | 39199 |
| Value | Count | Frequency (%) |
| 0 | 164 | |
| 500 | 1 | < 0.1% |
| 990 | 3 | < 0.1% |
| 1000 | 2 | < 0.1% |
| 1010 | 2 | < 0.1% |
| 1020 | 3 | < 0.1% |
| 1480 | 1 | < 0.1% |
| 1490 | 2 | < 0.1% |
| 1520 | 1 | < 0.1% |
| 1530 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 103500 | 1 | |
| 100650 | 1 | |
| 99950 | 1 | |
| 99900 | 1 | |
| 99650 | 1 | |
| 99550 | 1 | |
| 99400 | 1 | |
| 99250 | 1 | |
| 98900 | 1 | |
| 98850 | 2 |
| Distinct | 118 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28778.48502 |
| Minimum | 500 |
|---|---|
| Maximum | 105000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 353.4 KiB |
Quantile statistics
| Minimum | 500 |
|---|---|
| 5-th percentile | 13500 |
| Q1 | 30000 |
| median | 30000 |
| Q3 | 30000 |
| 95-th percentile | 35000 |
| Maximum | 105000 |
| Range | 104500 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 8847.772134 |
|---|---|
| Coefficient of variation (CV) | 0.3074439856 |
| Kurtosis | 19.01030589 |
| Mean | 28778.48502 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.312198234 |
| Sum | 1301219200 |
| Variance | 78283071.73 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30000 | 33336 | |
| 15000 | 2753 | 6.1% |
| 35000 | 2666 | 5.9% |
| 10000 | 741 | 1.6% |
| 25000 | 727 | 1.6% |
| 12000 | 439 | 1.0% |
| 20000 | 422 | 0.9% |
| 5000 | 289 | 0.6% |
| 25500 | 289 | 0.6% |
| 9000 | 273 | 0.6% |
| Other values (108) | 3280 | 7.3% |
| Value | Count | Frequency (%) |
| 500 | 1 | < 0.1% |
| 1000 | 10 | < 0.1% |
| 1500 | 7 | < 0.1% |
| 2000 | 16 | < 0.1% |
| 2500 | 8 | < 0.1% |
| 2800 | 3 | < 0.1% |
| 3000 | 70 | |
| 3500 | 5 | < 0.1% |
| 4000 | 38 | |
| 4500 | 7 | < 0.1% |
| Value | Count | Frequency (%) |
| 105000 | 1 | < 0.1% |
| 100000 | 46 | 0.1% |
| 95000 | 3 | < 0.1% |
| 90000 | 94 | |
| 88000 | 2 | < 0.1% |
| 87000 | 2 | < 0.1% |
| 86000 | 9 | < 0.1% |
| 85000 | 144 | |
| 84000 | 17 | < 0.1% |
| 83000 | 15 | < 0.1% |
| Distinct | 1432 |
|---|---|
| Distinct (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.003166968 |
| Minimum | -3.08 |
|---|---|
| Maximum | 100 |
| Zeros | 760 |
| Zeros (%) | 1.7% |
| Negative | 9691 |
| Negative (%) | 21.4% |
| Memory size | 353.4 KiB |
Quantile statistics
| Minimum | -3.08 |
|---|---|
| 5-th percentile | -1.133333333 |
| Q1 | 0.1 |
| median | 0.7 |
| Q3 | 1.3 |
| 95-th percentile | 2.25 |
| Maximum | 100 |
| Range | 103.08 |
| Interquartile range (IQR) | 1.2 |
Descriptive statistics
| Standard deviation | 6.054100686 |
|---|---|
| Coefficient of variation (CV) | 6.034988069 |
| Kurtosis | 256.3706532 |
| Mean | 1.003166968 |
| Median Absolute Deviation (MAD) | 0.6 |
| Skewness | 15.85313716 |
| Sum | 45358.19448 |
| Variance | 36.65213511 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 861 | 1.9% |
| 0.3333333333 | 859 | 1.9% |
| 0.6666666667 | 834 | 1.8% |
| 0.5 | 807 | 1.8% |
| 0 | 760 | 1.7% |
| 0.8333333333 | 700 | 1.5% |
| 0.6 | 677 | 1.5% |
| 0.8 | 663 | 1.5% |
| 0.4 | 652 | 1.4% |
| 0.1666666667 | 645 | 1.4% |
| Other values (1422) | 37757 |
| Value | Count | Frequency (%) |
| -3.08 | 1 | < 0.1% |
| -3.071428571 | 1 | < 0.1% |
| -3.066666667 | 8 | < 0.1% |
| -3.055555556 | 1 | < 0.1% |
| -3.035714286 | 1 | < 0.1% |
| -3.033333333 | 5 | < 0.1% |
| -3 | 28 | |
| -2.966666667 | 4 | < 0.1% |
| -2.96 | 1 | < 0.1% |
| -2.959183673 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 100 | 164 | |
| 2.904761905 | 1 | < 0.1% |
| 2.903225806 | 1 | < 0.1% |
| 2.901960784 | 1 | < 0.1% |
| 2.9 | 41 | 0.1% |
| 2.896551724 | 1 | < 0.1% |
| 2.888888889 | 6 | < 0.1% |
| 2.885714286 | 3 | < 0.1% |
| 2.88 | 1 | < 0.1% |
| 2.875 | 3 | < 0.1% |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 16288 |
| Missing (%) | 36.0% |
| Memory size | 353.4 KiB |
| SPEED2 | |
|---|---|
| SPEED1 | |
| PAL | |
| AUTOPAC | |
| PAL2 | |
| Other values (2) |
Length
| Max length | 7 |
|---|---|
| Median length | 6 |
| Mean length | 5.126317973 |
| Min length | 3 |
Characters and Unicode
| Total characters | 148289 |
|---|---|
| Distinct characters | 15 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | PAL |
|---|---|
| 2nd row | SPEED1 |
| 3rd row | SPEED1 |
| 4th row | SPEED1 |
| 5th row | PAL |
Common Values
| Value | Count | Frequency (%) |
| SPEED2 | 5855 | 12.9% |
| SPEED1 | 5432 | 12.0% |
| PAL | 5017 | 11.1% |
| AUTOPAC | 5008 | 11.1% |
| PAL2 | 4056 | 9.0% |
| ENV2 | 1805 | 4.0% |
| ENV3 | 1754 | 3.9% |
| (Missing) | 16288 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| speed2 | 5855 | |
| speed1 | 5432 | |
| pal | 5017 | |
| autopac | 5008 | |
| pal2 | 4056 | |
| env2 | 1805 | 6.2% |
| env3 | 1754 | 6.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| E | 26133 | |
| P | 25368 | |
| A | 19089 | |
| 2 | 11716 | |
| S | 11287 | |
| D | 11287 | |
| L | 9073 | 6.1% |
| 1 | 5432 | 3.7% |
| U | 5008 | 3.4% |
| T | 5008 | 3.4% |
| Other values (5) | 18888 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 129387 | |
| Decimal Number | 18902 | 12.7% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 26133 | |
| P | 25368 | |
| A | 19089 | |
| S | 11287 | |
| D | 11287 | |
| L | 9073 | 7.0% |
| U | 5008 | 3.9% |
| T | 5008 | 3.9% |
| O | 5008 | 3.9% |
| C | 5008 | 3.9% |
| Other values (2) | 7118 | 5.5% |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 11716 | |
| 1 | 5432 | |
| 3 | 1754 | 9.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 129387 | |
| Common | 18902 | 12.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| E | 26133 | |
| P | 25368 | |
| A | 19089 | |
| S | 11287 | |
| D | 11287 | |
| L | 9073 | 7.0% |
| U | 5008 | 3.9% |
| T | 5008 | 3.9% |
| O | 5008 | 3.9% |
| C | 5008 | 3.9% |
| Other values (2) | 7118 | 5.5% |
Common
| Value | Count | Frequency (%) |
| 2 | 11716 | |
| 1 | 5432 | |
| 3 | 1754 | 9.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 148289 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| E | 26133 | |
| P | 25368 | |
| A | 19089 | |
| 2 | 11716 | |
| S | 11287 | |
| D | 11287 | |
| L | 9073 | 6.1% |
| 1 | 5432 | 3.7% |
| U | 5008 | 3.4% |
| T | 5008 | 3.4% |
| Other values (5) | 18888 |
| Distinct | 45215 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| Minimum | 2019-11-29 10:30:00.977000 |
|---|---|
| Maximum | 2022-05-05 11:19:38.347000 |
Histogram with fixed size bins (bins=50)
| Distinct | 45215 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| Minimum | 1900-01-01 00:00:00 |
|---|---|
| Maximum | 2022-05-05 11:20:56.543000 |
Histogram with fixed size bins (bins=50)
| Distinct | 18521 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 26694 |
| Missing (%) | 59.0% |
| Memory size | 353.4 KiB |
| Minimum | 2019-11-30 11:44:20.763000 |
|---|---|
| Maximum | 2022-05-05 11:45:59.750000 |
Histogram with fixed size bins (bins=50)
| Distinct | 18521 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 26694 |
| Missing (%) | 59.0% |
| Memory size | 353.4 KiB |
| Minimum | 2019-11-30 11:44:20.763000 |
|---|---|
| Maximum | 2022-05-05 11:45:59.750000 |
Histogram with fixed size bins (bins=50)
| Distinct | 13693 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 31522 |
| Missing (%) | 69.7% |
| Memory size | 353.4 KiB |
| Minimum | 2019-11-30 11:45:59.143000 |
|---|---|
| Maximum | 2022-05-05 12:32:08.247000 |
Histogram with fixed size bins (bins=50)
BrutoData
Date
| Distinct | 45056 |
|---|---|
| Distinct (%) | 99.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| Minimum | 1900-01-01 00:00:00 |
|---|---|
| Maximum | 2022-05-05 12:36:19.060000 |
Histogram with fixed size bins (bins=50)
DataFecho
Date
| Distinct | 45212 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| Minimum | 1900-01-01 00:00:00 |
|---|---|
| Maximum | 2022-05-05 12:36:21.450000 |
Histogram with fixed size bins (bins=50)
| Distinct | 1822 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| 117TU139 | 633 |
|---|---|
| 8277TU188 | 589 |
| 687TU166 | 568 |
| 6165TU183 | 489 |
| 6289TU143 | 463 |
| Other values (1817) |
Length
| Max length | 10 |
|---|---|
| Median length | 9 |
| Mean length | 8.71206458 |
| Min length | 3 |
Characters and Unicode
| Total characters | 393916 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 658 ? |
|---|---|
| Unique (%) | 1.5% |
Sample
| 1st row | 9400TU157 |
|---|---|
| 2nd row | 7472TU203 |
| 3rd row | 834TU182 |
| 4th row | 5944TU137 |
| 5th row | 7891TU183 |
Common Values
| Value | Count | Frequency (%) |
| 117TU139 | 633 | 1.4% |
| 8277TU188 | 589 | 1.3% |
| 687TU166 | 568 | 1.3% |
| 6165TU183 | 489 | 1.1% |
| 6289TU143 | 463 | 1.0% |
| 9788TU123 | 443 | 1.0% |
| 3133TU173 | 438 | 1.0% |
| 4857TU106 | 422 | 0.9% |
| 5567TU92 | 410 | 0.9% |
| 3904TU216 | 409 | 0.9% |
| Other values (1812) | 40351 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 117tu139 | 634 | 1.4% |
| 8277tu188 | 589 | 1.3% |
| 687tu166 | 568 | 1.3% |
| 6165tu183 | 489 | 1.1% |
| 6289tu143 | 463 | 1.0% |
| 9788tu123 | 443 | 1.0% |
| 3133tu173 | 438 | 1.0% |
| 4857tu106 | 422 | 0.9% |
| 5567tu92 | 410 | 0.9% |
| 3904tu216 | 409 | 0.9% |
| Other values (1807) | 40350 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 56619 | |
| T | 44285 | |
| U | 44285 | |
| 2 | 33238 | |
| 8 | 29912 | |
| 7 | 28669 | |
| 3 | 28310 | |
| 9 | 27900 | |
| 6 | 26547 | |
| 5 | 25472 | |
| Other values (6) | 48679 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 305284 | |
| Uppercase Letter | 88622 | 22.5% |
| Lowercase Letter | 10 | < 0.1% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 56619 | |
| 2 | 33238 | |
| 8 | 29912 | |
| 7 | 28669 | |
| 3 | 28310 | |
| 9 | 27900 | |
| 6 | 26547 | |
| 5 | 25472 | |
| 0 | 24354 | |
| 4 | 24263 |
Uppercase Letter
| Value | Count | Frequency (%) |
| T | 44285 | |
| U | 44285 | |
| R | 26 | < 0.1% |
| S | 26 | < 0.1% |
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 5 | |
| u | 5 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 305284 | |
| Latin | 88632 | 22.5% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 56619 | |
| 2 | 33238 | |
| 8 | 29912 | |
| 7 | 28669 | |
| 3 | 28310 | |
| 9 | 27900 | |
| 6 | 26547 | |
| 5 | 25472 | |
| 0 | 24354 | |
| 4 | 24263 |
Latin
| Value | Count | Frequency (%) |
| T | 44285 | |
| U | 44285 | |
| R | 26 | < 0.1% |
| S | 26 | < 0.1% |
| t | 5 | < 0.1% |
| u | 5 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 393916 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 56619 | |
| T | 44285 | |
| U | 44285 | |
| 2 | 33238 | |
| 8 | 29912 | |
| 7 | 28669 | |
| 3 | 28310 | |
| 9 | 27900 | |
| 6 | 26547 | |
| 5 | 25472 | |
| Other values (6) | 48679 |
CodEntidade
Real number (ℝ≥0)
| Distinct | 359 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 9 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 398668.9294 |
| Minimum | 200482 |
|---|---|
| Maximum | 400589 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 353.4 KiB |
Quantile statistics
| Minimum | 200482 |
|---|---|
| 5-th percentile | 400017 |
| Q1 | 400046 |
| median | 400070 |
| Q3 | 400125 |
| 95-th percentile | 400373 |
| Maximum | 400589 |
| Range | 200107 |
| Interquartile range (IQR) | 79 |
Descriptive statistics
| Standard deviation | 11902.34801 |
|---|---|
| Coefficient of variation (CV) | 0.02985521852 |
| Kurtosis | 65.63598048 |
| Mean | 398668.9294 |
| Median Absolute Deviation (MAD) | 24 |
| Skewness | -8.197186897 |
| Sum | 1.802222762 × 1010 |
| Variance | 141665888.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 400046 | 10592 | |
| 400093 | 5940 | 13.1% |
| 400180 | 3228 | 7.1% |
| 400030 | 1655 | 3.7% |
| 400041 | 1276 | 2.8% |
| 400059 | 1253 | 2.8% |
| 400070 | 1094 | 2.4% |
| 400044 | 975 | 2.2% |
| 400091 | 922 | 2.0% |
| 400187 | 791 | 1.7% |
| Other values (349) | 17480 |
| Value | Count | Frequency (%) |
| 200482 | 1 | < 0.1% |
| 300173 | 21 | |
| 300179 | 1 | < 0.1% |
| 300181 | 9 | < 0.1% |
| 300182 | 3 | < 0.1% |
| 300183 | 1 | < 0.1% |
| 300185 | 4 | < 0.1% |
| 300187 | 26 | |
| 300188 | 2 | < 0.1% |
| 300190 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 400589 | 3 | < 0.1% |
| 400588 | 6 | < 0.1% |
| 400587 | 2 | < 0.1% |
| 400586 | 2 | < 0.1% |
| 400585 | 3 | < 0.1% |
| 400584 | 31 | |
| 400583 | 4 | < 0.1% |
| 400494 | 5 | < 0.1% |
| 400490 | 2 | < 0.1% |
| 400488 | 1 | < 0.1% |
| Distinct | 262 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 35326 |
| Missing (%) | 78.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9900004980 |
| Minimum | 9900000018 |
|---|---|
| Maximum | 9900010784 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 353.4 KiB |
Quantile statistics
| Minimum | 9900000018 |
|---|---|
| 5-th percentile | 9900000160 |
| Q1 | 9900000984 |
| median | 9900006045 |
| Q3 | 9900006892 |
| 95-th percentile | 9900009452 |
| Maximum | 9900010784 |
| Range | 10766 |
| Interquartile range (IQR) | 5908 |
Descriptive statistics
| Standard deviation | 3137.19423 |
|---|---|
| Coefficient of variation (CV) | 3.168881467 × 10-7 |
| Kurtosis | -1.185618492 |
| Mean | 9900004980 |
| Median Absolute Deviation (MAD) | 1851 |
| Skewness | -0.3739206895 |
| Sum | 9.790114924 × 1013 |
| Variance | 9841987.637 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 9900000849 | 348 | 0.8% |
| 9900007766 | 308 | 0.7% |
| 9900006681 | 300 | 0.7% |
| 9900000259 | 298 | 0.7% |
| 9900009452 | 286 | 0.6% |
| 9900003790 | 276 | 0.6% |
| 9900000160 | 274 | 0.6% |
| 9900006779 | 271 | 0.6% |
| 9900000153 | 260 | 0.6% |
| 9900006010 | 249 | 0.6% |
| Other values (252) | 7019 | 15.5% |
| (Missing) | 35326 |
| Value | Count | Frequency (%) |
| 9900000018 | 6 | < 0.1% |
| 9900000090 | 1 | < 0.1% |
| 9900000123 | 27 | 0.1% |
| 9900000141 | 78 | 0.2% |
| 9900000143 | 1 | < 0.1% |
| 9900000153 | 260 | |
| 9900000160 | 274 | |
| 9900000164 | 1 | < 0.1% |
| 9900000167 | 8 | < 0.1% |
| 9900000168 | 92 | 0.2% |
| Value | Count | Frequency (%) |
| 9900010784 | 17 | |
| 9900010507 | 1 | < 0.1% |
| 9900010483 | 2 | < 0.1% |
| 9900010437 | 1 | < 0.1% |
| 9900010432 | 2 | < 0.1% |
| 9900010400 | 1 | < 0.1% |
| 9900010371 | 1 | < 0.1% |
| 9900010325 | 1 | < 0.1% |
| 9900010215 | 1 | < 0.1% |
| 9900010166 | 1 | < 0.1% |
| Distinct | 2695 |
|---|---|
| Distinct (%) | 6.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 353.4 KiB |
| AID NSAIBIA | 474 |
|---|---|
| CHOKRI BEN FRADJ | 429 |
| NOOMEN SAIDI | 391 |
| NOUREDINE SAIDI | 369 |
| LOTFI FARHANI | 367 |
| Other values (2690) |
Length
| Max length | 33 |
|---|---|
| Median length | 25 |
| Mean length | 13.97162446 |
| Min length | 1 |
Characters and Unicode
| Total characters | 631727 |
|---|---|
| Distinct characters | 59 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 950 ? |
|---|---|
| Unique (%) | 2.1% |
Sample
| 1st row | HICHEM HAMMAMI |
|---|---|
| 2nd row | AHMED MESSAI |
| 3rd row | anouer jerou |
| 4th row | HAZEM MESSOUDI |
| 5th row | ZIED BEN TRAKI |
Common Values
| Value | Count | Frequency (%) |
| AID NSAIBIA | 474 | 1.0% |
| CHOKRI BEN FRADJ | 429 | 0.9% |
| NOOMEN SAIDI | 391 | 0.9% |
| NOUREDINE SAIDI | 369 | 0.8% |
| LOTFI FARHANI | 367 | 0.8% |
| MOHAMED AYMEN BEN MANSOUR | 361 | 0.8% |
| maher dhif | 338 | 0.7% |
| HAYDER FARHAT | 322 | 0.7% |
| adel ben amara | 322 | 0.7% |
| anis hammami | 317 | 0.7% |
| Other values (2685) | 41525 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ben | 4953 | 5.0% |
| mohamed | 4302 | 4.3% |
| ali | 1683 | 1.7% |
| ahmed | 1214 | 1.2% |
| aymen | 1150 | 1.2% |
| maher | 1113 | 1.1% |
| hayder | 1030 | 1.0% |
| mourad | 1022 | 1.0% |
| lotfi | 934 | 0.9% |
| saidi | 904 | 0.9% |
| Other values (1996) | 80983 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 80733 | 12.8% |
| 54091 | 8.6% | |
| I | 53799 | 8.5% |
| E | 44386 | 7.0% |
| M | 35927 | 5.7% |
| H | 34528 | 5.5% |
| D | 28819 | 4.6% |
| R | 28647 | 4.5% |
| N | 22523 | 3.6% |
| L | 22453 | 3.6% |
| Other values (49) | 225821 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 487373 | |
| Lowercase Letter | 89615 | 14.2% |
| Space Separator | 54091 | 8.6% |
| Dash Punctuation | 453 | 0.1% |
| Other Punctuation | 186 | < 0.1% |
| Decimal Number | 8 | < 0.1% |
| Math Symbol | 1 | < 0.1% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 80733 | |
| I | 53799 | |
| E | 44386 | 9.1% |
| M | 35927 | 7.4% |
| H | 34528 | 7.1% |
| D | 28819 | 5.9% |
| R | 28647 | 5.9% |
| N | 22523 | 4.6% |
| L | 22453 | 4.6% |
| B | 21571 | 4.4% |
| Other values (14) | 113987 |
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 15708 | |
| i | 8261 | |
| e | 7862 | 8.8% |
| m | 7430 | 8.3% |
| h | 7170 | 8.0% |
| d | 6018 | 6.7% |
| r | 5402 | 6.0% |
| o | 4272 | 4.8% |
| l | 3887 | 4.3% |
| b | 3691 | 4.1% |
| Other values (13) | 19914 |
Decimal Number
| Value | Count | Frequency (%) |
| 7 | 2 | |
| 1 | 1 | |
| 4 | 1 | |
| 2 | 1 | |
| 0 | 1 | |
| 6 | 1 | |
| 9 | 1 |
Other Punctuation
| Value | Count | Frequency (%) |
| * | 176 | |
| . | 10 | 5.4% |
Space Separator
| Value | Count | Frequency (%) |
| 54091 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 453 |
Math Symbol
| Value | Count | Frequency (%) |
| + | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 576988 | |
| Common | 54739 | 8.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 80733 | 14.0% |
| I | 53799 | 9.3% |
| E | 44386 | 7.7% |
| M | 35927 | 6.2% |
| H | 34528 | 6.0% |
| D | 28819 | 5.0% |
| R | 28647 | 5.0% |
| N | 22523 | 3.9% |
| L | 22453 | 3.9% |
| B | 21571 | 3.7% |
| Other values (37) | 203602 |
Common
| Value | Count | Frequency (%) |
| 54091 | ||
| - | 453 | 0.8% |
| * | 176 | 0.3% |
| . | 10 | < 0.1% |
| 7 | 2 | < 0.1% |
| + | 1 | < 0.1% |
| 1 | 1 | < 0.1% |
| 4 | 1 | < 0.1% |
| 2 | 1 | < 0.1% |
| 0 | 1 | < 0.1% |
| Other values (2) | 2 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 631727 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 80733 | 12.8% |
| 54091 | 8.6% | |
| I | 53799 | 8.5% |
| E | 44386 | 7.0% |
| M | 35927 | 5.7% |
| H | 34528 | 5.5% |
| D | 28819 | 4.6% |
| R | 28647 | 4.5% |
| N | 22523 | 3.6% |
| L | 22453 | 3.6% |
| Other values (49) | 225821 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| TipoDoc | TipoViatura | CodProduto | DescProduto | estado | Tara | bruto | Liquido | qtdpedida | percDiff | PostoOperacao | DataCriacao | Dataentrada | TaraData | DataInicioOperacao | DataFimOperacao | BrutoData | DataFecho | Matricula | CodEntidade | CodMotorista | NomeMotorista | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | TP | Z004 | 3 | CIMENT II/AL 32,5 R PALETTE | F | 14250 | 29100 | 14850 | 15000 | 1.000000 | PAL | 2022-05-05 11:19:38.347 | 2022-05-05 11:20:56.543 | 2022-05-05 11:24:41.697 | 2022-05-05 11:24:41.697 | 2022-05-05 11:42:16.453 | 2022-05-05 11:51:28.497 | 2022-05-05 11:51:30.590 | 9400TU157 | 400494.0 | NaN | HICHEM HAMMAMI |
| 1 | TP | Z002 | 5 | CIMENT I 42,5 R SAC | F | 15600 | 45750 | 30150 | 30000 | -0.500000 | SPEED1 | 2022-05-05 10:51:03.003 | 2022-05-05 10:53:34.447 | 2022-05-05 11:45:59.750 | 2022-05-05 11:45:59.750 | 2022-05-05 12:32:08.247 | 2022-05-05 12:36:19.060 | 2022-05-05 12:36:21.450 | 7472TU203 | 400396.0 | 9.900007e+09 | AHMED MESSAI |
| 2 | TP | Z002 | 5 | CIMENT I 42,5 R SAC | F | 14800 | 45000 | 30200 | 30000 | -0.666667 | SPEED1 | 2022-05-05 10:26:27.250 | 2022-05-05 10:29:35.117 | 2022-05-05 10:55:50.420 | 2022-05-05 10:55:50.420 | 2022-05-05 11:44:29.167 | 2022-05-05 12:09:31.900 | 2022-05-05 12:09:37.177 | 834TU182 | 400376.0 | NaN | anouer jerou |
| 3 | TP | Z002 | 5 | CIMENT I 42,5 R SAC | F | 14800 | 44850 | 30050 | 30000 | -0.166667 | SPEED1 | 2022-05-05 10:07:39.820 | 2022-05-05 10:09:34.763 | 2022-05-05 10:20:37.433 | 2022-05-05 10:20:37.433 | NaT | 2022-05-05 10:54:07.287 | 2022-05-05 10:54:11.187 | 5944TU137 | 400588.0 | NaN | HAZEM MESSOUDI |
| 4 | TP | Z004 | 42 | CIMENT I 42,5 R SR3 PALETTE | F | 7450 | 17300 | 9850 | 10000 | 1.500000 | PAL | 2022-05-05 10:00:56.097 | 2022-05-05 10:04:45.923 | 2022-05-05 10:22:43.433 | 2022-05-05 10:22:43.433 | 2022-05-05 10:28:07.907 | 2022-05-05 10:31:45.010 | 2022-05-05 10:31:50.837 | 7891TU183 | 400401.0 | NaN | ZIED BEN TRAKI |
| 5 | TP | Z004 | 3 | CIMENT II/AL 32,5 R PALETTE | F | 2950 | 7900 | 4950 | 5000 | 1.000000 | PAL2 | 2022-05-05 09:36:07.237 | 2022-05-05 09:42:17.633 | 2022-05-05 09:43:52.837 | 2022-05-05 09:43:52.837 | NaT | 2022-05-05 10:16:14.480 | 2022-05-05 10:16:20.120 | 1718TU112 | 400086.0 | NaN | FETHI BOUSSAHA |
| 6 | TP | Z002 | 2 | CIMENT II/AL 32,5 R SAC | F | 15250 | 45000 | 29750 | 30000 | 0.833333 | SPEED2 | 2022-05-05 09:35:14.067 | 2022-05-05 09:42:56.587 | 2022-05-05 10:06:20.490 | 2022-05-05 10:06:20.490 | 2022-05-05 10:56:51.007 | 2022-05-05 11:00:19.073 | 2022-05-05 11:00:25.933 | 319TU113 | 400086.0 | NaN | NABIL BEN MBAREK |
| 7 | TP | Z002 | 2 | CIMENT II/AL 32,5 R SAC | F | 15650 | 45500 | 29850 | 30000 | 0.500000 | AUTOPAC | 2022-05-05 09:34:20.753 | 2022-05-05 09:36:19.813 | 2022-05-05 10:18:41.527 | 2022-05-05 10:18:41.527 | 2022-05-05 10:55:56.220 | 2022-05-05 10:58:23.180 | 2022-05-05 10:58:28.350 | 8170TU152 | 400046.0 | NaN | AYMEN RHIMI |
| 8 | TP | Z002 | 2 | CIMENT II/AL 32,5 R SAC | F | 15000 | 44800 | 29800 | 30000 | 0.666667 | AUTOPAC | 2022-05-05 09:31:04.657 | 2022-05-05 09:32:15.940 | 2022-05-05 09:37:30.250 | 2022-05-05 09:37:30.250 | 2022-05-05 10:17:48.933 | 2022-05-05 10:21:26.287 | 2022-05-05 10:21:31.810 | 3513TU89 | 400046.0 | NaN | MOHAMED TRABELSI |
| 9 | TP | Z002 | 2 | CIMENT II/AL 32,5 R SAC | F | 7250 | 17150 | 9900 | 10000 | 1.000000 | SPEED2 | 2022-05-05 08:06:41.350 | 2022-05-05 08:07:31.770 | 2022-05-05 08:10:47.133 | 2022-05-05 08:10:47.133 | 2022-05-05 08:57:19.607 | 2022-05-05 08:58:25.923 | 2022-05-05 08:58:31.920 | 1338TU219 | 400046.0 | NaN | KARIM BEN OUDA |
Last rows
| TipoDoc | TipoViatura | CodProduto | DescProduto | estado | Tara | bruto | Liquido | qtdpedida | percDiff | PostoOperacao | DataCriacao | Dataentrada | TaraData | DataInicioOperacao | DataFimOperacao | BrutoData | DataFecho | Matricula | CodEntidade | CodMotorista | NomeMotorista | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 45205 | TP | Z004 | 3 | CIMENT II/AL 32,5 R PALETTE | F | 14660 | 44600 | 29940 | 30000 | 0.200000 | NaN | 2019-11-29 17:15:14.713 | 2019-11-29 17:15:47.017 | NaT | NaT | NaT | 2019-11-29 17:49:48.943 | 2019-11-29 17:49:52.023 | 7952TU75 | 300214.0 | NaN | IMED BEN ARFA |
| 45206 | TP | Z002 | 5 | CIMENT I 42,5 R SAC | F | 9100 | 28950 | 19850 | 20000 | 0.750000 | NaN | 2019-11-29 17:06:24.993 | 2019-11-29 17:07:13.823 | NaT | NaT | NaT | 2019-11-29 18:46:56.293 | 2019-11-29 18:47:03.213 | 3264TU117 | 300263.0 | NaN | IBRAHIM MANAI |
| 45207 | TP | Z004 | 3 | CIMENT II/AL 32,5 R PALETTE | F | 14940 | 44650 | 29710 | 30000 | 0.966667 | NaN | 2019-11-29 16:29:25.210 | 2019-11-29 16:30:03.210 | NaT | NaT | NaT | 2019-11-29 18:25:15.680 | 2019-11-29 18:25:18.627 | 4852TU136 | 300350.0 | NaN | HOSNI AHMED |
| 45208 | TP | Z004 | 3 | CIMENT II/AL 32,5 R PALETTE | F | 15080 | 44700 | 29620 | 30000 | 1.266667 | NaN | 2019-11-29 16:17:19.667 | 2019-11-29 16:17:54.060 | NaT | NaT | NaT | 2019-11-29 17:24:38.260 | 2019-11-29 17:24:40.710 | 2423TU162 | 300350.0 | NaN | WALID DHIFAWI |
| 45209 | TP | Z002 | 5 | CIMENT I 42,5 R SAC | F | 15780 | 45400 | 29620 | 30000 | 1.266667 | NaN | 2019-11-29 16:11:41.073 | 2019-11-29 16:12:41.897 | NaT | NaT | NaT | 2019-11-29 17:17:25.290 | 2019-11-29 17:17:27.660 | 2168TU154 | 300330.0 | NaN | ABDESSALEM KERANI |
| 45210 | TP | Z002 | 2 | CIMENT II/AL 32,5 R SAC | F | 14840 | 44550 | 29710 | 30000 | 0.966667 | NaN | 2019-11-29 16:08:01.580 | 2019-11-29 16:08:42.433 | NaT | NaT | NaT | 2019-11-29 17:22:10.140 | 2019-11-29 17:22:12.367 | 1425TU163 | 300348.0 | NaN | MAJDI KHALIFI |
| 45211 | TP | Z004 | 3 | CIMENT II/AL 32,5 R PALETTE | F | 15540 | 45250 | 29710 | 30000 | 0.966667 | NaN | 2019-11-29 16:03:04.663 | 2019-11-29 16:04:01.157 | NaT | NaT | NaT | 2019-11-29 16:58:42.220 | 2019-11-29 16:58:44.587 | 8986TU212 | 300271.0 | NaN | CHAABAN HAJRI |
| 45212 | TP | Z002 | 2 | CIMENT II/AL 32,5 R SAC | F | 15420 | 45250 | 29830 | 30000 | 0.566667 | NaN | 2019-11-29 15:49:36.817 | 2019-11-29 15:50:29.987 | NaT | NaT | NaT | 2019-11-29 16:50:01.820 | 2019-11-29 16:50:04.760 | 6774TU135 | 300386.0 | NaN | MOHAMED RAHALI |
| 45213 | TP | Z004 | 3 | CIMENT II/AL 32,5 R PALETTE | F | 14480 | 44400 | 29920 | 30000 | 0.266667 | NaN | 2019-11-29 10:41:38.277 | 2019-11-29 10:43:05.387 | NaT | NaT | NaT | 2019-11-29 12:20:35.480 | 2019-11-29 12:20:42.660 | 5820TU130 | 300319.0 | NaN | SABER HAFNAOUI |
| 45214 | TP | Z004 | 3 | CIMENT II/AL 32,5 R PALETTE | F | 15000 | 44650 | 29650 | 30000 | 1.166667 | NaN | 2019-11-29 10:30:00.977 | 2019-11-29 10:33:13.603 | NaT | NaT | NaT | 2019-11-29 11:20:30.497 | 2019-11-29 11:20:40.560 | 620TU112 | 300214.0 | NaN | SALEM MIGHRI |